10,392 rated or chosen profiles from 1,299 respondents, in up to 8 tasks of 1 profile varying on 6 attributes.

About this table

Description	Stated-preference experiment on Mobility-as-a-Service subscriptions: 1,299 individuals saw eight single subscription offers (price, time commitment, public reviews, and the share used by family, friends and colleagues) and answered yes or no.
Reference	Li, X., Feng, T., Rasouli, S., & Wong, M. (2026). Empirical dataset for latent variable choice modeling [Data set]. Zenodo.
Licence	CC BY 4.0
Source data	https://doi.org/10.5281/zenodo.20192916

Notes

Conjoint table (irw_conjoint_2). Each of eight tasks shows one MaaS subscription profile (monthly price, time commitment, public reviews, share among family, friends and colleagues) and the respondent accepts (1) or rejects (0) it; rejection is the outside option (opt_out = yes). Respondent ids are rebuilt from the file's runs of eight tasks (inferred; covariates constant within each run); exact question wording and the country are not in the deposit.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,299
Rows (one per respondent, task and profile)	10,392
Tasks per respondent (most)	8
Profiles per task	1
Attributes	6
Tasks with no profile chosen	8,231

Design

Topic	climate energy environment
A profile represents	product service
Country	unknown
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	MaaS subscription choice variable: would you choose (subscribe to) this MaaS offer? 1 = Yes, 0 = No (paraphrase) [choice, opt-out allowed]

Columns

attr_monthly_priceattr_service_reviewsattr_share_colleaguesattr_share_familyattr_share_friendsattr_time_commitmentchoicecov_agecov_gender_codecov_income_band_eur_yearcov_marital_statuscov_urban_densityidprofiletask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("li_2026_maas_subscription", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("li_2026_maas_subscription", source="conj")

How to cite

@misc{https://doi.org/10.5281/zenodo.20192916,
  doi = {10.5281/ZENODO.20192916},
  url = {https://zenodo.org/doi/10.5281/zenodo.20192916},
  author = {Li, Xiaodong and Feng, Tao and Rasouli, Soora and Wong, Melvin and Kuang, Haibo},
  title = {Empirical Dataset for Latent Variable Choice Modeling},
  publisher = {Zenodo},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0